How I would relearn Data Science In 2024 to get a job: Getting Started: ⬇️ - Data Science Intro: DataCamp- Anaconda Setup: Anaconda Documentation Programming: - Python Basics: Real Python- R Basics: R-bloggers- SQL Fundamentals: SQLZoo- 六 Java for Data Science: Udemy - Java Programming and Software Engineering Fundamentals Mathematics:... Continue Reading →
Big Data Learning Resources
Complete Plan to learn Big Data Step by Step (All Free resources Included) by Sumit Sir.1. Learn SQL Basics - https://lnkd.in/g9NEJMVESQL will be used at a lot of places - Hive/Spark SQL/RDBMS queriesJoins & windowing functions are very important2. Learn Programming/Python for Data Engineering - https://lnkd.in/gr6fFPdULearn Python to an extent required for Data Engineers.3. Learn... Continue Reading →
Cloud Services in one line
If you are an aspiring Data Engineer then you must know these cloud services w.r.t AWS or AZURE or GCP 👇 Save this post for future reference ...1️⃣ Amazon Web Services (AWS)🛠 AWS Data Pipeline: For creating complex data processing workloads.📊 AWS Glue: Our favourite fully managed ETL service.💾 Amazon S3: An object storage service... Continue Reading →
Google Cloud Developer’s Cheat Sheet
All Products Compute Cloud Run: Serverless for containerized applications 🔗 📄 Cloud Functions: Event-driven serverless functions 🔗 📄 Compute Engine: VMs, GPUs, TPUs, Disks 🔗 📄 Kubernetes Engine (GKE): Managed Kubernetes/containers 🔗 📄 App Engine: Managed app platform 🔗 📄 Bare Metal Solution: Hardware for specialized workloads 🔗 Preemptible VMs: Short-lived compute instances 🔗 📄 Shielded VMs: Hardened VMs 🔗 📄 Sole-tenant nodes: Dedicated physical servers 🔗 📄 Storage Cloud Filestore: Managed... Continue Reading →
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